Multi-Platform Aggregated Dataset of Online Communities (MADOC)

The Multi-platform Aggregated Dataset of Online Communities (MADOC) is a comprehensive dataset that facilitates computational social science research by providing a unified, standardized dataset for cross-platform analysis of online social dynamics. MADOC aggregates and standardizes data from four distinct platforms: Bluesky, Koo, Reddit, and Voat, spanning from 2012 to 2024. The dataset includes 18.9 million posts, 236 million comments, and data from 23.1 million unique users across all platforms, with a particular focus on understanding community dynamics, user migration patterns, and the evolution of toxic behavior across platforms. By providing standardized data structures and FAIR-compliant access through Zenodo and corresponding Python and R packages, MADOC enables researchers to conduct comparative analyses of user behavior, interaction networks, and content sentiment across diverse social media environments. The unique value of the dataset lies in its cross-platform scope, standardized structure, and rich metadata, making it particularly suitable for studying societal phenomena such as community formation, toxic behavior propagation, and user migration patterns in response to platform moderation policies.

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Publication Details

Journal
Proceedings of the International AAAI Conference on Web and Social Media
Published
2025-06-07
DOI
https://doi.org/10.1609/icwsm.v19i1.35954
Primary Topic
Caching and Content Delivery
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-Platform Aggregated Dataset of Online Communities (MADOC)

Darja Cvetković, Ana Vranić, Slobodan Maletić, Sara Major et al.
Proceedings of the International AAAI Conference on Web and Social Media
Caching and Content Delivery
article

Multi-Platform Aggregated Dataset of Online Communities (MADOC)

Darja Cvetković, Ana Vranić, Slobodan Maletić, Sara Major, D. Vudragović, Marija Mitrović Dankulov, Miroslav Anđelković, Aleksandar Bogojević, Aleksandar Tomašević, Boris Stupovski
article en

Abstract

The Multi-platform Aggregated Dataset of Online Communities (MADOC) is a comprehensive dataset that facilitates computational social science research by providing a unified, standardized dataset for cross-platform analysis of online social dynamics. MADOC aggregates and standardizes data from four distinct platforms: Bluesky, Koo, Reddit, and Voat, spanning from 2012 to 2024. The dataset includes 18.9 million posts, 236 million comments, and data from 23.1 million unique users across all platforms, with a particular focus on understanding community dynamics, user migration patterns, and the evolution of toxic behavior across platforms. By providing standardized data structures and FAIR-compliant access through Zenodo and corresponding Python and R packages, MADOC enables researchers to conduct comparative analyses of user behavior, interaction networks, and content sentiment across diverse social media environments. The unique value of the dataset lies in its cross-platform scope, standardized structure, and rich metadata, making it particularly suitable for studying societal phenomena such as community formation, toxic behavior propagation, and user migration patterns in response to platform moderation policies.

Proceedings of the International AAAI Conference on Web and Social MediaVol. 19
University of Novi Sad (RS), University of Belgrade (RS), Institute of Physics Belgrade (RS)
Institute of Physics Belgrade, Science Fund of the Republic of Serbia
Openalex Percentile: Top 87%
Caching and Content Delivery
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